Davide Costa earned his Master’s degree in Artificial Intelligence and Machine Learning in 2021. From November 2021 to November 2023, he was a research fellow under the POR CALABRIA FESR 2014/2020 DeepStethoscope Project. His research encompasses the application of multimodal deep learning techniques to text (NLP), images (CV), and audio (CA), with a specific focus on the exploration and definition of contemporary self-supervised contrastive-learning training methodologies. Additionally, he has contributed as a reviewer for conferences and has been a fomer member of the Machines, Languages, and Networks Team @Artificial Intelligence and Data Science Lab within DIMES.